This method returns total crime rates, crime rates by crime types, area ratings by total crime, and area ratings by crime type for small areas (Lower Layer Super Output Areas, or LSOAs) and Local Authority Districts (LADs). The results are determined by the inclusion of the submitted postcode/coordinates/UPRN within the corresponding LSOA or LAD.

All figures are annual (for the last 12 months).

The crime rates are calculated per 1,000 resident population derived from the census 2021.

The dataset is updated on a monthly basis, with a 3-month lag between the current date and the most recent data.

This method returns historical annual crime rates (total and by crime type) for the years starting 2011. The results are determined by the inclusion of the submitted postcode/coordinates/UPRN within the corresponding LSOA, LAD or region.

The crime rates are calculated per 1,000 resident population derived from the census 2011 and 2021.

The dataset is updated annually.

Police recorded crime figures by Police Force Area and Community Safety Partnership areas (which equate in the majority of instances, to local authorities).

Visit the interactive Crime Mapping Tool and prepare your own tailored crime report showing the latest maps, graphs and data on crimes, victims and offenders in NSW LGAs, suburbs or postcodes.

*Note: prior to June 2021 there were three additional crime tools available providing data for Local Government Areas on crime trends, crimes by premises and LGA crime rankings. These tools are no longer supported; this information is available in the Crime Mapping Tool.

The crime rate in the United Kingdom was highest in England and Wales in 2023/24, at **** crimes per 1,000 people, compared with Scotland which had ** crimes per 1,000 population and Northern Ireland, at **** crimes per 1,000 people. During this time period, the crime rate of England and Wales has usually been the highest in the UK, while Scotland's crime rate has declined the most, falling from **** crimes per 1,000 people in 2002/03, to just **** by 2021/22. Overall crime on the rise In 2022/23 there were approximately **** million crimes recorded by the police in England and Wales, with this falling to **** million in 2023/24. Although crime declined quite significantly between 2002/03 and 2013/14, this trend has been reversed in subsequent years. While there are no easy explanations for the recent uptick in crime, it is possible that reduced government spending on the police service was at least partly to blame. In 2009/10 for example, government spending on the police stood at around **** billion pounds, with this cut to between ***** billion and ***** billion between 2012/13 and 2017/18. One of the most visible consequences of these cuts was a sharp reduction in the number of police officers in the UK. As recently as 2019, there were just ******* police officers in the UK, with this increasing to ******* by 2023. A creaking justice system During the period of austerity, the Ministry of Justice as a whole saw its budget sharply decline, from *** billion pounds in 2009/10, to just **** billion by 2015/16. Although there has been a reversal of the cuts to budgets and personnel in the justice system, the COVID-19 pandemic hit the depleted service hard in 2020. A backlog of cases grew rapidly, putting a strain on the ability of the justice system to process cases quickly. As of the first quarter of 2023, for example, it took on average *** days for a crown court case to go from offence to conclusion, compared with *** days in 2014. There is also the issue of overcrowding in prisons, with the number of prisoners in England and Wales dangerously close to operational capacity in recent months.

Interactive dashboard for open data portal. Displays crimes by zip code.

This method returns monthly crimes (total and by crime type) starting from December 2010. The results are determined by the inclusion of the submitted postcode/coordinates/UPRN within the corresponding LSOA.

Quarterly recorded crime reports and datasets

The quarterly recorded crime reports are available from 2004 and annually from 1997. They contains statistics and graphs relating to the 62 offences BOCSAR reports on, with trends rates and ratios for LGAs and Statistical Areas.

The datasets are produced quarterly for all of NSW and broken down by LGA, postcode and suburb for the 62 offences. The data includes incident counts by month from 1995

This dataset provides detailed information on the 2019 Index of Multiple Deprivation (IMD) for Birmingham, UK. The data is available at the postcode level and includes the Lower Layer Super Output Area (LSOA) information.Data is provided at the LSOA 2011 Census geography.The decile score ranges from 1-10 with decile 1 representing the most deprived 10% of areas while decile 10 representing the least deprived 10% of areas.The IMD rank and decile score is allocated to the LSOA and all postcodes within it at the time of creation (2019).Note that some postcodes cross over LSOA boundaries. The Office for National Statistics sets boundaries for LSOAs and allocates every postcode to one LSOA only: this is the one which contains the majority of residents in that postcode area (as at 2011 Census).

The English Indices of Deprivation 2019 provide a detailed analysis of relative deprivation across small areas in England. The Crime Deprivation dataset is a key component of this index, measuring the risk of personal and material victimization at the local level. This dataset includes indicators such as recorded crimes for violence, burglary, theft, and criminal damage. It helps identify areas with high levels of crime, guiding policy interventions and resource allocation to improve safety and reduce crime rates.

Open Postcode Geo is a postcode dataset and API optimised for geocoding applications. You can use Open Postcode Geo to geocode a dataset, geocode user input, and therefore build a proximity search.

Data is derived from the ONS (Office for National Statistics) postcode database and is free to use, subject to including attributions to ONS, OS (Ordinance Survey) and Royal Mail.

Information is also provided on a range of topics, including education, health, crime, business, etc.

Postcodes can be entered at area, district, sector, and unit level - see Postcode map for the geographical relationship between these.

The Crime Statistics Agency (CSA) is responsible for processing, analysing and publishing Victorian crime statistics, independent of Victoria Police. \r \r The CSA aims to provide an efficient and transparent information service to assist and inform policy makers, researchers and the Victorian public. \r \r The legal basis for the Crime Statistics Agency is the Crime Statistics Act 2014, which provides for the publication and release of crime statistics, research into crime trends, and the employment of a Chief Statistician for that purpose. \r \r Under the provisions of the Act, the Chief Statistician is empowered to receive law enforcement data from the Chief Commissioner of Police and is responsible for publishing and releasing statistical information relating to crime in Victoria.\r \r The Crime Statistics Agency releases quarterly and annual crime data at four geographical levels; State, Police region, Local Government Area (LGA), and Postcode.\r \r Data Classification - https://www.crimestatistics.vic.gov.au/about-the-data/classifications \r \r Glossary and Data Dictionary - https://www.crimestatistics.vic.gov.au/about-the-data/glossary-and-data-dictionary\r

Postcode-based crime statistics for crimes against the person and crimes against property. The Crime statistics datasets contain all offences against the person and property that were reported to …Show full descriptionPostcode-based crime statistics for crimes against the person and crimes against property. The Crime statistics datasets contain all offences against the person and property that were reported to police in that respective financial year. For more information please see the original spreadsheet. Source: The data was downloaded from data.sa.gov.au and summarised by the Adelaide Data Hub to generate monthly Crime Statistics datasets at Offence Level 3. The data was spatialised using South Australian suburbs boundaries which was dissolved to reflect the postcode boundaries. Copyright attribution: Government of South Australia - South Australian Police, (2020): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution 4.0 International (CC BY 4.0)

The Division of Prevention and Early Intervention (PEI) was created to consolidate child abuse prevention and juvenile delinquency prevention and early intervention programs within the jurisdiction of a single state agency. Consolidation of these programs is intended to eliminate fragmentation and duplication of contracted prevention and early intervention services for at-risk children, youth, and families: Community Youth Development (CYD) - The CYD program contracts with community-based organizations to develop juvenile delinquency prevention programs in ZIP codes with high juvenile crime rates. Approaches used by communities to prevent delinquency have included mentoring, youth employment programs, career preparation, youth leadership development and recreational activities. Communities prioritize and fund specific prevention services according to local needs. CYD services are available in 15 targeted Texas ZIP codes. Family and Youth Success Program (FAYS) (formerly Services to At-Risk Youth (STAR)) - The FAYS program contracts with community agencies to offer family crisis intervention counseling, short- term emergency respite care, and individual and family counseling. Youth up to age 17 and their families are eligible if they experience conflict at home, truancy or delinquency, or a youth who runs away from home. FAYS services are available in all 254 Texas counties. Each FAYS contractor also provides universal child abuse prevention services, ranging from local media campaigns to informational brochures and parenting classes. Statewide Youth Services Network (SYSN) - The SYSN program contracts provide community and evidence-based juvenile delinquency prevention programs focused on youth ages 10 through 17, in each DFPS region. NOTE: For FY15, as a result of a new procurement, the overall number of youth served decreased however the service requirements were enhanced with additional programmatic components. Data as of December 11, 2024.

The Crime Statistics Agency releases quarterly and annual crime data at four geographical levels; State, Police region, Local Government Area (LGA), and Postcode.

Level of education, social benefits claimants and crime suspects by 4-digit postcode zone, 2011-2012 (Dutch only)

This MSOA atlas provides a summary of demographic and related data for each Middle Super Output Area in Greater London. The average population of an MSOA in London in 2010 was 8,346, compared with 1,722 for an LSOA and 13,078 for a ward.

The profiles are designed to provide an overview of the population in these small areas by combining a range of data on the population, births, deaths, health, housing, crime, commercial property/floorspace, income, poverty, benefits, land use, environment, deprivation, schools, and employment.

If you need to find an MSOA and you know the postcode of the area, the ONS NESS search page has a tool for this.

The MSOA Atlas is available as an XLS as well as being presented using InstantAtlas mapping software. This is a useful tool for displaying a large amount of data for numerous geographies, in one place (requires HTML 5).

NB. It is currently not possible to export the map as a picture due to a software issue with the Google Maps background. We advise you to print screen to copy an image to the clipboard.

Tips:

1. - Select a new indicator from the Data box on the left. Select the theme, then indicator and then year to show the data.
2. - To view data just for one borough*, use the filter tool.
3. - The legend settings can be altered by clicking on the pencil icon next to the MSOA tick box within the map legend.
4. - The areas can be ranked in order by clicking at the top of the indicator column of the data table.

Themes included here are Census 2011 Population, Mid-year Estimates, Population by Broad Age, Households, Household composition, Ethnic Group, Country of Birth, Language, Religion, Tenure, Dwelling type, Land Area, Population Density, Births, General Fertility Rate, Deaths, Standardised Mortality Ratio (SMR), Population Turnover Rates (per 1000), Crime (numbers), Crime (rates), House Prices, Commercial property (number), Rateable Value (£ per m2), Floorspace; ('000s m2), Household Income, Household Poverty, County Court Judgements (2005), Qualifications, Economic Activity, Employees, Employment, Claimant Count, Pupil Absence, Early Years Foundation Stage, Key Stage 1, GCSE and Equivalent, Health, Air Emissions, Car or Van availability, Income Deprivation, Central Heating, Incidence of Cancer, Life Expectancy, and Road Casualties.

• The London boroughs are: City of London, Barking and Dagenham, Barnet, Bexley, Brent, Bromley, Camden, Croydon, Ealing, Enfield, Greenwich, Hackney, Hammersmith and Fulham, Haringey, Harrow, Havering, Hillingdon, Hounslow, Islington, Kensington and Chelsea, Kingston upon Thames, Lambeth, Lewisham, Merton, Newham, Redbridge, Richmond upon Thames, Southwark, Sutton, Tower Hamlets, Waltham Forest, Wandsworth, Westminster.

These profiles were created using the most up to date information available at the time of collection (Spring 2014).

You may also be interested in LSOA Atlas and Ward Atlas.

Report Volume Data The report counts in this data set are broken down by activity sector, report type, the year and month of receipt, and reporting entity location. The reporting entity location is represented by the forward sortation area (FSA) component of the Canadian postal code (i.e. the first three characters of the Canadian postal code, e.g. “K1P”) that designates the postal district where the reporting entity is located. The Financial Transactions and Reports Analysis Centre of Canada (FINTRAC) is engaged in a multi-year initiative to implement important changes to its reporting forms. Part of this modernization now allows reporting entities to submit reports containing transactions from multiple locations, increasing efficiency and reducing burden. This will change how FINTRAC publishes statistics for reports that have been modernized. FINTRAC implemented the new Large Cash Transaction Report in October 2023. As such, reporting volume statistics for the Large Cash Transaction Report will be published at a national level for quarters 3 and 4 of 2023-2024 (from October to December, and January to March, respectively). ##Protecting the Identity of Reporting Entities By law, FINTRAC must protect the identity of the persons and entities that are required to submit financial transaction reports to the Centre under the Proceeds of Crime (Money Laundering) and Terrorist Financing Act. In keeping with this responsibility to protect information, FINTRAC cannot provide more specific geographic data than is contained in this data set. Whenever possible, the data set includes the full FSA to identify the location of reporting entities submitting reports to FINTRAC. However, in any case where a certain location contains fewer than five reporting entities, or fewer than five reports submitted, only partial characters of the FSA are shown. This means that certain FSAs may contain only one or two characters (e.g., K or K1) instead of the standard three characters (e.g., K1P). In rare cases, it was not possible to provide a reporting entity location or report count without risking revealing the identity of reporting entities in a given activity sector or identifying a specific report, and so the data is provided at a national level only. All FSA levels are hierarchically inclusive. This means, for example, that the total number of report counts for K1 includes all reports submitted within all FSAs that start with K1 (i.e. K1A, K1B, K1C), including those that may not be visible because they include fewer than five reporting entities in a given activity sector. E&OE